Active Query Builder is a component for business applications which helps users without any SQL experience to work with SQL queries and get data fast. Users can get a clear view of database schema and design SQL queries with natural point-and-click actions rather than tedious typing. Active Query Builder assists novice users learning SQL and allows experienced users to analyze and understand their queries better by parsing them and building the visual diagram. With…
$199
per developer
Looker Studio
Score 8.1 out of 10
N/A
Looker Studio is a data visualization platform that transforms data into meaningful presentations and dashboards with customized reporting tools.
$9
per month per user per project
Mathematica
Score 7.0 out of 10
N/A
Wolfram's flagship product Mathematica is a modern technical computing application featuring a flexible symbolic coding language and a wide array of graphing and data visualization capabilities.
$1,520
per year
Pricing
Active Query Builder
Looker Studio
Wolfram Mathematica
Editions & Modules
VCL Edition (Delphi, C++Builder)
$199.00
per developer
Core .NET Edition (non-visual)
$199.00
per developer
ActiveX Edition
$299.00
per developer
WinForms Edition
$399.00
per developer
WPF Edition
$399.00
per developer
ASP.NET Edition
$399.00
per developer
Java Edition
$450.00
per developer
.NET All-in-One Edition
$899.00
per developer
Looker Studio Pro
$9
per month per user per project
Looker Studio
No charge
Standard Cloud
$1,520
per year
Standard Desktop
$3,040
one-time fee
Standard Desktop & Cloud
$3,344
one-time fee
Mathematica Enterprise Edition
$8,150.00
one-time fee
Offerings
Pricing Offerings
Active Query Builder
Looker Studio
Mathematica
Free Trial
Yes
No
No
Free/Freemium Version
No
Yes
No
Premium Consulting/Integration Services
Yes
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
—
—
Discounts available for students and educational institutions. The Network Edition reduce per-user license costs through shared deployment across any number of machines on a local-area network.
More Pricing Information
Community Pulse
Active Query Builder
Looker Studio
Wolfram Mathematica
Features
Active Query Builder
Looker Studio
Wolfram Mathematica
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Active Query Builder
-
Ratings
Looker Studio
7.1
62 Ratings
13% below category average
Wolfram Mathematica
9.9
6 Ratings
20% above category average
Pixel Perfect reports
00 Ratings
6.743 Ratings
9.84 Ratings
Customizable dashboards
00 Ratings
7.461 Ratings
9.94 Ratings
Report Formatting Templates
00 Ratings
7.359 Ratings
9.96 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Active Query Builder
-
Ratings
Looker Studio
7.7
61 Ratings
1% below category average
Wolfram Mathematica
9.9
9 Ratings
24% above category average
Drill-down analysis
00 Ratings
7.151 Ratings
9.98 Ratings
Formatting capabilities
00 Ratings
7.257 Ratings
9.98 Ratings
Integration with R or other statistical packages
00 Ratings
6.929 Ratings
9.97 Ratings
Report sharing and collaboration
00 Ratings
9.759 Ratings
9.99 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Active Query Builder
-
Ratings
Looker Studio
8.2
60 Ratings
0% above category average
Wolfram Mathematica
9.3
8 Ratings
13% above category average
Publish to Web
00 Ratings
8.353 Ratings
9.97 Ratings
Publish to PDF
00 Ratings
8.853 Ratings
9.08 Ratings
Report Versioning
00 Ratings
8.139 Ratings
9.97 Ratings
Report Delivery Scheduling
00 Ratings
7.942 Ratings
8.95 Ratings
Delivery to Remote Servers
00 Ratings
7.624 Ratings
8.95 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
This is a good framework to use if your project requires frequent database queries. The product is made for both complete amateurs and seasoned experts. Prompt, courteous, and expert assistance; any problems are addressed and fixed without delay. Relatively inexpensive Inadequate, if there are new people involved, delays due to a lack of documentation are likely, and issues with code completion may arise.
Visualizing cross-channel campaign performance can blend data from a few different sources to compare performance metrics like spend, clicks, and conversions side-by-side in a single view, which helps in quick budget reallocation decisions. When dealing with massive volumes of data (millions of rows) or highly complex queries, Looker Studio dashboards can become slow, laggy, or even crash. Performance issues are a frequent complaint when working with large datasets, making it unsuitable for enterprise-level companies
We are the judgement that Wolfram Mathematica is despite many critics based on the paradigms selected a mark in the fields of the markets for computations of all kind. Wolfram Mathematica is even a choice in fields where other bolide systems reign most of the market. Wolfram Mathematica offers rich flexibility and internally standardizes the right methodologies for his user community. Wolfram Mathematica is not cheap and in need of a hard an long learner journey. That makes it weak in comparison with of-the-shelf-solution packages or even other programming languages. But for systematization of methods Wolfram Mathematica is far in front of almost all the other. Scientist and interested people are able to develop themself further and Wolfram Matheamatica users are a human variant for themself. The reach out for modern mathematics based science is deep and a unique unified framework makes the whole field of mathematics accessable comparable to the brain of Albert Einstein. The paradigms incorporated are the most efficients and consist in assembly on the market. The mathematics is covering and fullfills not just education requirements but the demands and needs of experts.
Mathematica is incompatible with other systems for mCAx and therefore the borders between the systems are hard to overcome. Wolfram Mathematica should be consider one of the more open systems because other code can be imported and run but on the export side it is rathe incompatible by design purposes. A better standard for all that might solve the crisis but there is none in sight. Selection of knowledge of what works will be in the future even more focussed and general system might be one the lossy side. Knowledge of esthetics of what will be in the highest demand in necessary and Wolfram is not a leader in this field of science. Mathematics leves from gathering problems from application fields and less from the glory of itself and the formalization of this.
Breath of data - the number of ways to interrogate the data is endless, and the options to view metrics alongside each other make for comprehensive datasets.
Data visualisation and customisation - the options for presenting data and separating out across pages allow for clean visuals and segmented information.
Easy shareability/usability - a quick and simple tool to introduce colleagues to, and easy to grant access for them to be able to view the data, without having to understand the setup itself.
It allows straightforward integration of analytic analysis of algebraic expressions and their numerical implemented.
Supports varying programmatic paradigms, so one can choose what best fits the problem or task: pure functions, procedural programming, list processing, and even (with a bit of setup) object-oriented programming.
The extensive and rich tools for graphical rendering make it very easy to not just get 2D and 3D renderings of final output, but also to do quick-and-dirty 2D and 3D rendering of intermediate results and/or debugging results.
It needs better handling of complex logic. We often need workarounds to perform complex custom calculations, and it can be really unpleasant at times.
Felt it got slow with a larger data set, and in one minor report, we had to set up time filters so that calculations during spikes could be traced more quickly.
Compare to competition they need to improve with notification things.
It is the simplest and least expensive way for us to automate our reporting at this time. I like the ability to customize literally everything about each report, and the ability to send out reports automatically in emails. The only issue we have been having recently is a technical glitch in the automatic email report. Sadly, there is almost no support for this tool from Google, but is also free, so that is important to take into consideration
Looker Studio is easy to use, and it offers a sufficient variety of predefined visualizations to choose from. It's easy for us, and anyone can set up basic reporting without extensive data visualization skills. The interface layout is easy to understand, and it doesn't take long to get used to.
I give it a lower support rating because it seems like our Dev team hasn't gotten the support they need to set up our database to connect. Seems like we hit a roadblock and the project got put on pause for dev. That sucks for me because it is harder to get the dev team to focus on it if they don't get the help they need to set it up.
Wolfram Mathematica is a nice software package. It has very nice features and easy to install and use in your machine. Besides this, there is a nice support from Wolfram. They come to the university frequently to give seminars in Mathematica. I think this is the best thing they are doing. That is very helpful for graduate and undergraduate students who are using Mathematica in their research.
I have used Flutter to begin and with flutter you need learn a language called Dart which is not needed with AQB, which is the main reason for us to pick Active Query Builder as a choice over Flutter. AQB supports all the merchant SQL databases with native syntax support, query optimizations and more
Looker Studio is far easier to implement, stand up, and learn. The interface is simpler and user-friendly for various levels of data visualization/analysis knowledge and experience. The biggest benefit of Looker Studio, however, is its ease of connection to GA data and speed. Furthermore, since it is an online program/tool, it requires less CPU/battery/storage on the user's device.
We have evaluated and are using in some cases the Python language in concert with the Jupyter notebook interface. For UI, we using libraries like React to create visually stunning visualizations of such models. Mathematica compares favorably to this alternative in terms of speed of development. Mathematica compares unfavorably to this alternative in terms of license costs.